Data is king in today’s business world. We can’t plan for the future, make informed decisions, or take advantage of opportunities without it. The great majority of firms at this level are obtaining data from a number of sources, such as sales reports and customer feedback. Businesses no longer have to worry about storing and making sense of their data thanks to data analysis tools. This issue has been dealt with completely.
“Databricks” and “Palantir” are the two most prominent players in the business today. In order to get the most out of their massive data sets, firms use data analysis systems. The goal of these platforms is to make it as simple as possible for you to acquire insight from your data. Since no intricate data pipelines or processing jobs are required, any member of your team may execute this task. You have a choice here, but which one should you choose
To help you make an educated decision, we’ll compare and contrast some of the most significant differences, similarities, and pricing structures between these two platforms.
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Main Differences Between Databricks vs Palantir (Summarized)
Here’s a table that highlights the main differences between Databricks vs Palantir;
| Databricks | Palantir | |
| Basic Features | It cloud-based unified data analytic and big data management platform | It is a big data analytics software. |
| Training | This is done via documentation and webinar | This is done only via documentation |
| Integrations | It integrates with a wide range of data sources, developer tools, and partner solutions. | It integrates with both simple and complex ERP and CRM data |
| Pricing | It doesn’t offer a free plan but comes with a 14-day free trial on any plan chosen | It has no free version and the pricing is determined by the features. |
| Customer Support | It offers support via phone and online | It offers support only via online |
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Databricks vs Palantir: Features and Capabilities
Databricks vs Palantir differs in features and capabilities. Here are key highlights;
Key Features and Capabilities of Databricks:
Here’s a breakdown of Databricks’s key features and capabilities;
- TWO-FACTOR AUTHENTICATION: This makes it more difficult for unauthorized individuals to access the site.
- REST API: enables programmed management of resources, which was previously impossible.
- DATA EXPORT: this makes it possible to save data in a variety of formats.
- DATA VISUALIZATION: It provides an excellent and diverse visual representation of users’ data.
- DATA IMPORT: upload data from the user’s computerto Databricks File System (DBFS).
- INTEGRATION: It helps enable you to access Delta tables from external data processing engines.
- ANALYTICS: immediate access to the most up-to-date and comprehensive data
- DASHBOARD: this allows users to blend visualizations and text fields to create the context for your data.
- NOTIFICATION: keeps an eye on users’ business, and combines them with other tools to kick off workflows.
Key Features and Capabilities of Palantir:
Here’s a breakdown of Palantir’s key features and capabilities;
- ANALYTICS: this allows users to access data from the platform’s integrated intelligence.
- REST API: allows users to execute custom analytics within the platform
- DASHBOARD: explore a collection of resources to help build your business
- DATA EXPORT: allows users can export data in a variety of formats
- DATA IMPORT: XML-based format is used to upload data from other systems.
- DATA VISUALIZATION: supports a visual representation of user’s data in various formats
- INTEGRATION: allows connection to ERP and CRM systems to perform analytics
- MULTI-FACTOR AUTHENTICATION: provides additional security via multiple factors
- NOTIFICATION: this gives users information about any new engagement.
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Databricks vs Palantir: Pricing
Databrick and Palantir differ in pricing. So, here’s what you need to know;
Databricks Pricing Details:
They make use of an “only pay for what you use” philosophy. Users get a 14-day free trial immediately after they subscribe to any plan. The pricing differs between the cloud partners which are:
- AWS Pricing
- Azure Databricks Pricing
- Databricks on Google cloud
AWS Pricing Details:
STANDARD:
- Jobs Light Compute: $0.07/ DBU
- Jobs Compute: $0.10/ DBU
- Delta Live Tables: $O.20-$0.36/DBU
- All-Purpose Compute: O.40/DBU
PREMIUM:
- Jobs Light Compute: $0.10/ DBU
- Jobs Compute: $0.15/ DBU
- Delta Live Tables: $O.20-$0.36/DBU
- SQL Compute: $O.22/DBU
- All-Purpose Compute: $O.55/DBU
- Serverless SQL Compute: $O.70/DBU
ENTERPRISE:
- Jobs Light Compute: $0.13/ DBU
- Jobs Compute: $0.20/ DBU
- Delta Live Tables: $O.20-$0.36/DBU
- SQL Compute: $O.22/DBU
- All-Purpose Compute: $O.65/DBU
- Serverless SQL Compute: $O.70/DBU
Azure Databricks Pricing Details:
STANDARD:
- Jobs Compute: $0.15/ DBU
- All-Purpose Compute: $O.40/DBU
PREMIUM:
- Jobs Compute: $0.30/ DBU
- Delta Live Tables: $O.30-$0.54/DBU
- SQL Compute: $O.22/DBU
- All-Purpose Compute: $O.55/DBU
Databricks on Google Cloud Pricing Details:
STANDARD:
- Jobs Compute: $0.15/ DBU
- DLT Advanced Compute: $O.40/DBU
- All-Purpose Compute: $O.40/DBU
PREMIUM:
- Jobs Compute: $0.22/ DBU
- SQL Compute: $O.22/DBU
- DLT Advanced Compute: $O.40/DBU
- All-Purpose Compute: $O.55/DBU
Note: Contact the vendor to use their “committed based discount philosophy”
Palantir Pricing Details:
It has no free version and the pricing depends on the feature you signed up for. The pricing is relatively based on each organization’s data setup, acquisition, storage, preparation, and delivery.
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Reasons to Choose Databricks over Palantir:
Here are the reasons why you should choose Databricks over Palantir;
- Databricks offers high-quality data analysis at a low price.
- Databricks offers better customer support than Palantir.
- It does not have a fixed price as the price is only determined by the data usage.
- Easily to set up and user-friendly as it is a cloud-based analytics platform
- It provides a large number of integrations to the users
Reasons to Choose Palantir over Databricks:
Here are the reasons why you should choose Palantir over Databricks;
- Palantir analyses a large volume of data when compared to Databricks
- Palantir analyses data faster than Databricks
- It allows multi-user login and usage
- It provides data with a high level of security than Databricks
- Palantir provides more data exporting format than Databricks
The Similarities between Databricks and Palantir
Here are some of the major similarities between Databricks and Palantir;
- They both have excellent analytics tools
- They both offer to import and export data
- They both offer integration and authentication features
- You can store unlimited data on both platforms
- They both offer visualization and notification features
You are free to decide which of the data analysis platform you prefer based on these features.
Databricks and Palantir Alternatives
Here are notable alternatives to Databricks and Palantir;
- Alteryx: It is a simple-to-use analytics platform that helps corporate firms make key decisions that drive their business strategy and success
- Google BigQuery: a large-scale data analytics platform that has large data storage.
- Looker: allows analysts can easily develop and curate unique data experiences
- Tableau: Create dynamic dashboards with advanced visual analytics by drag and drop.
There are so many alternatives to Databricks and Palantir. So, the choice is yours.
Databricks vs Palantir: Final Verdicts
Understanding what Databricks and Palantir offer will help you decide which one is best for your business. Databricks might save you money but Palantir offers more.
Databricks is a cloud-based data analytics platform that uses AI and machine learning to help businesses obtain meaningful insights by combining data science, engineering, and business workflow. It’s the clear choice for serious business owners.
However, Palantir appeals to a limited audience because itisdesigned for industries in automotive, case management, cyber defense, financial, compliance, insider threat, insurance, law enforcement, and legal intelligence. So, you can go with Databricks if you don’t need the advanced features. But we can all agree that advanced features will come in handy for a better analysis of data. Hence, Palantir is worth the extra price if you don’t mind.
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Frequently Asked Questions
Here are some helpful frequently asked questions;
What are some of the applications that Databricks is commonly utilized with?
It is mostly used together with Microsoft Azure and Apache Spark.
Is there a limit on the amount of data I can import on Palantir?
Yes, the default limit is one million rows or 1 GB of uncompressed size, however, your organization’s defined limitations settings may be greater. The Foundry administrator in your company sets the specific limit threshold.
Is Databricks better than Palantir for enormous data analysis?
No, but it is used to extract value from sizeable amounts of data quickly and efficiently by data scientists and engineers.
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Resource Links
- https://crozdesk.com/software/databricks
- https://crozdesk.com/software/palantir-gotham
- https://databricks.com/product/aws-pricing
- https://databricks.com/product/azure-pricing
- https://databricks.com/product/gcp-pricing